ABSTRACT The current time‐lapse practice is to exactly repeat well‐sampled acquisition geometries to mitigate acquisition effects on the time‐lapse differences. In order to relax the rigid requirements on acquisition effects, we propose simultaneous joint migration inversion as an effective time‐lapse tool for reservoir monitoring, which combines a joint time‐lapse data processing strategy with the joint migration inversion method. Joint migration inversion is a full‐wavefield inversion method that explains the measured reflection data using a parameterization in terms of reflectivity and propagation velocity. Both the inversion process inside the imaging/inversion scheme and the extra illumination provided by including multiples in joint migration inversion makes the obtained velocity and reflectivity operator largely independent of the utilized acquisition geometry and, thereby, relaxes the strong requirement of non‐repeatability during the monitoring. Because simultaneous joint migration inversion inverts for all datasets simultaneously and utilizes various constraints on the estimated reflectivities and velocity, the obtained time‐lapse differences have much higher accuracy compared to inverting each dataset separately. It allows the baseline and monitor parameters to communicate with each other dynamically during inversion via a user‐defined spatial weighting operator. In order to get more localized time‐lapse velocity differences, we further extend the regular simultaneous joint migration inversion to a robust high‐resolution simultaneous joint migration inversion process using the time‐lapse reflectivity difference as an extra constraint for the velocity estimation during inversion. This constraint makes a link between the reflectivity‐ and the velocity difference by exploiting the relationship between them. We demonstrate the feasibility of the proposed method with a highly realistic synthetic model based on the Grane field offshore Norway and a time‐lapse field dataset from the Troll Field.

中文翻译：

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用于延时地震数据集高分辨率成像/反演的同步联合偏移反演

摘要 当前的延时实践是精确重复采样良好的采集几何结构，以减轻采集对延时差异的影响。为了放松对采集效果的刚性要求，我们提出同时联合偏移反演作为一种有效的油藏监测延时工具，将联合延时数据处理策略与联合偏移反演方法相结合。联合偏移反演是一种全波场反演方法，它使用反射率和传播速度方面的参数化来解释测量的反射数据。成像/反演方案中的反演过程以及在联合偏移反演中包含多次波所提供的额外照明使得获得的速度和反射率算子在很大程度上独立于所使用的采集几何结构，从而放松了对非重复性的强烈要求。监测。由于同时联合偏移反演同时对所有数据集进行反演并利用对估计反射率和速度的各种约束，因此与单独反演每个数据集相比，获得的延时差异具有更高的准确性。它允许基线和监测参数在反演期间通过用户定义的空间加权算子动态地相互通信。为了获得更局部化的延时速度差异，我们使用延时反射率差异作为反演过程中速度估计的额外约束，将规则的同时联合偏移反演进一步扩展为稳健的高分辨率同时联合偏移反演过程。该约束通过利用反射率和速度差异之间的关系在它们之间建立联系。我们使用基于挪威海上 Grane 油田和来自 Troll 油田的延时油田数据集的高度逼真的合成模型证明了所提出方法的可行性。该约束通过利用反射率和速度差异之间的关系在它们之间建立联系。我们使用基于挪威海上 Grane 油田和来自 Troll 油田的延时油田数据集的高度逼真的合成模型证明了所提出方法的可行性。该约束通过利用反射率和速度差异之间的关系在它们之间建立联系。我们使用基于挪威海上 Grane 油田和来自 Troll 油田的延时油田数据集的高度逼真的合成模型证明了所提出方法的可行性。